Unsupervised Learning Techniques for Vibration-Based Structural Health Monitoring Systems Driven by Data: A General Overview

F Colace, BB Gupta, A Lorusso, A Troiano… - … of Research on AI and …, 2024 - igi-global.com
Structural damage detection is a crucial issue for the safety of civil buildings, which are
subject to gradual deterioration over time and at risk from sudden seismic events. To prevent …

Multi-feature extraction-based defect recognition of foundation pile under layered soil condition using convolutional neural network

CS Wu, TQ Hao, LL Qi, DB Zhuo, ZY Feng, JQ Zhang… - Applied Sciences, 2022 - mdpi.com
If the layer of soil surrounding a pile is not taken into account during the engineering
detection process, the velocity-time curve might show asymptotic diameter shrinkage or …

Use of Artificial Intelligence in Design, Development, Additive Manufacturing, and Certification of Multifunctional Composites for Aircraft, Drones, and Spacecraft

R Ghimire, A Raji - Applied Sciences, 2024 - mdpi.com
Multifunctional composites provide more than one function from the same part. The
anisotropy, material, and process characterization challenges and the lack of …

Health Detection of Betal Leaves Using Self-Organizing Map and Thresholding Algorithm

DI Mulyana, A Saepudin, MB Yel - Journal of Applied …, 2022 - journal.yrpipku.com
Betel leaf is one of the plants that is widely used as a natural or traditional medicine by the
community, natural treatment with the use of plants is relatively safer. But there is a problem …

Research on an Improved SOM Model for Damage Identification of Concrete Structures

J Liu, K Li - Applied Sciences, 2022 - mdpi.com
In order to solve the problem of intelligent detection of damage of modern concrete
structures under complex constraints, an improved self-organizing mapping (SOM) neural …

[PDF][PDF] Clustering Large-Scale Data using an Incremental Heap Self-Organizing Map.

M Fasanghari, H Bahrami… - International Journal of …, 2022 - ijict.itrc.ac.ir
In machine learning and data analysis, clustering large amounts of data is one of the most
challenging tasks. In reality, many fields, including research, health, social life, and …

IMPEDANCE-BASED STRUCTURAL HEALTH MONITORING AND KOHONEN NETS FOR DAMAGE DETECTION

AL de Lima, SWF Rezende… - … of Advances in …, 2023 - search.proquest.com
Several expensive structures have been developed in the past century. Thus, corrective,
preventive, and predictive maintenance techniques were proposed based on the ability to …

Visualization and Semantic Labeling of Mood States Based on Time-Series Features of Eye Gaze and Facial Expressions by Unsupervised Learning

H Madokoro, S Nix, K Sato - Healthcare, 2022 - mdpi.com
This study is intended to develop a stress measurement and visualization system for stress
management in terms of simplicity and reliability. We present a classification and …

The Empty-Nest Power User Management Based on Data Mining Technology

J Li, J Yang, H Cai, C Jiang, Q Jiang, Y Xie, Z Lu, L Li… - Sensors, 2023 - mdpi.com
With the aging of the social population structure, the number of empty-nesters is also
increasing. Therefore, it is necessary to manage empty-nesters with data mining technology …

COMPARATIVE ANALYSIS OF MULTIPLE MACHINE LEARNING ALGORITHMS FOR POST-EARTHQUAKE BUILDING DAMAGE ASSESSMENT IN HATAY CITY …

Ö Kaya - 2024 - open.metu.edu.tr
This thesis presents earthquake damage assessment methodologies, focusing on
integrating satellite imagery and machine learning (ML) algorithms. The study aims to …